asmitapoddar

Clinical-Named-Entity-Recognition-for-EHR

Clinical Named Entity Recognition for EHR

Deep-Learning-DNA-Sequences

Deep learning for identifying important motifs in DNA sequences. Exploration of the structure of the human genome by training neural network architectures (CNN, LSTM, Attention).

Festival-Management-System

Festival Management

kaggle-electricity-prediction-eeml2019

Data Analysis of Electricity Production and Consumption data of Romania over 9 years as a part of the EEML 2019 Data Analysis Challenge for Artificial Intelligence for Social Good

nowplaying-RS-Music-Reco-FM

#nowplaying-RS: Music Recommendation using Factorization Machines

question-answering-SQuAD2.0-dcn

Implementation of a Dynamic Coattention Network proposed by Xiong et al.(2017) for Question Answering, learning to find answers spans in a document, given a question, using the Stanford Question Answering Dataset (SQuAD2.0).

Reversible-digtal-watermarking

Coded in C++ using OpenCV to achieve colour space transformation from RGB to YCoCg in order to increase embedding capacity, and then watermark extraction, so that both watermark and cover medium remain unchanged.

uncertainty-estimation-DiabeticRetinopathy

Estimating uncertainty of neural networks for automated screening of Diabetic Retinopathy using the PyTorch framework. Generated visual explanation of the deep learning system to convey the pixels in the image that influences its decision Integrated Gradient method.

practicals

R

Sentiment analysis and visualization of real-time tweets using R

asmitapoddar/nowplaying-RS-Music-Reco-FM

#nowplaying-RS: Music Recommendation using Factorization Machines

asmitapoddar/uncertainty-estimation-DiabeticRetinopathy

Estimating uncertainty of neural networks for automated screening of Diabetic Retinopathy using the PyTorch framework. Generated visual explanation of the deep learning system to convey the pixels in the image that influences its decision Integrated Gradient method.

asmitapoddar/Deep-Learning-DNA-Sequences

Deep learning for identifying important motifs in DNA sequences. Exploration of the structure of the human genome by training neural network architectures (CNN, LSTM, Attention).

asmitapoddar/question-answering-SQuAD2.0-dcn

Implementation of a Dynamic Coattention Network proposed by Xiong et al.(2017) for Question Answering, learning to find answers spans in a document, given a question, using the Stanford Question Answering Dataset (SQuAD2.0).

asmitapoddar/Reversible-digtal-watermarking

Coded in C++ using OpenCV to achieve colour space transformation from RGB to YCoCg in order to increase embedding capacity, and then watermark extraction, so that both watermark and cover medium remain unchanged.

asmitapoddar/kaggle-electricity-prediction-eeml2019

Data Analysis of Electricity Production and Consumption data of Romania over 9 years as a part of the EEML 2019 Data Analysis Challenge for Artificial Intelligence for Social Good

asmitapoddar/Clinical-Named-Entity-Recognition-for-EHR

Clinical Named Entity Recognition for EHR

asmitapoddar/Festival-Management-System

Festival Management

asmitapoddar/Text-deblurring-using-CNN

Deblurring a text image using Convolutional Neural Networks

asmitapoddar/Time-Series-Analysis

Time Series Analsyis of Wireless Network Parameters using ARIMA model

asmitapoddar/BayesSentinel

Creating package for simulation and classification of multi-dimensional spectroscopic data taken from Sentinel-2 satellite covering the area of France

asmitapoddar/Autoencoder-ATLAS

Autoencoder-ATLAS: codes for implementation of autoencoder-decoder network to compress the data from the ATLAS experiments from 4 to 3 variables, and reconstruct the compressed data.

asmitapoddar/Time-Based-Activity-Recommender-System

asmitapoddar/Twitter-Crawling-and-Visualization

Crawler to retrieve and visualize user profiles based on gathered statistics

asmitapoddar/Twitter-Sentiment-Analysis-R

Takes feeds from Twitter into R and the sentiment of the tweets is analysed and classified into positive, negative and neutral tweets.

asmitapoddar/co-attention

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

asmitapoddar/getting-and-cleaning-data

asmitapoddar/iclr15

Sentiment Analysis with Ensemble

asmitapoddar/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

asmitapoddar/practicals

asmitapoddar/ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

asmitapoddar/Sentiment-analysis-using-Caffe

Some research experiments

asmitapoddar/tensorflow

An Open Source Machine Learning Framework for Everyone